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inet.test.task.MultipleUpdateTasks¶

class inet.test.task.MultipleUpdateTasks(tasks=[], multiple_task_results_class=MultipleUpdateTaskResults, **kwargs)¶

Bases: inet.common.MultipleTasks

Represents multiple tasks that can be run together.

Initializes a new multiple tasks object.

Parameters:

tasks (List of Task) – The list of individual tasks that are run when this multiple tasks is run.
name (string) – A human readable short description of the multiple tasks, usually a noun.
concurrent (bool) – Specifies if the individual tasks are run sequentially or concurrently.
randomize (bool) – Specifies if the order of execution is random or follows the order of storage for the tasks.
chunksize (integer) – The number of tasks that are run together in a single batch if the tasks are running concurrently.
scheduler (string) – Specifies how the tasks are scheduled. Valid values are “process”, “thread”, and “cluster”.
multiple_task_results_class (string) – The Python class name of the produced multiple task results object.

rerun(**kwargs)¶

Runs the tasks again.

run(context=None, progress=None, index=0, count=1, **kwargs)¶

Runs all tasks sequentially or concurrently.

Parameters:: kwargs (dict) – Additional parameters are inherited from Task.run().

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